Staff Data Engineer - Quickbooks Capital and Lending

Intuit, Inc.; Mountain View (CA); Hybrid; USD 203,000 - 274,000; Full time

Job summary

Intuit, Inc. is seeking a Staff Software Engineer in Data for the QuickBooks Capital and Lending Platform in Mountain View. You will design and implement data engineering pipelines using Python, PySpark, Spark, SQL and DataBricks on AWS, with on-call production support. 7+ years in data engineering is preferred.

The role emphasizes hands-on development, cross-functional collaboration, and adherence to SDLC and Agile practices in a fast-paced environment.

Qualifications

• 7+ years of experience building data engineering pipelines.
• Proven experience with Python, PySpark and Spark.
• Experience with SDLC and large-scale enterprise data systems.

Responsibilities

• Size and design medium to large work items with timelines.
• Develop software using data engineering tech.
• Spend 90% time hands-on designing, coding, testing and on-call support.
• Debug and patch defects across test, pre-prod and production.
• Collaborate with product, engineering, and business teams.
• Follow Agile Scrum or XP methodologies.
• Data modeling, warehousing and ETL pipelines.
• Production support via quarterly on-call rotations.

Skills

Python

PySpark

Spark

SQL

DataBricks

AWS

Elasticsearch

Kafka

Big Data

Education

BS/MS in computer science

Job description

Come join the QuickBooks Capital and Lending Platform as a Staff Software Engineer in Data. You will join an innovative and passionate team of engineers using cutting edge technologies like Python, PySpark, Spark, SQL, Data Bricks, Big Data fundamentals, AWS, Elastic Search, Kafka, to build enterprise scale data engineering pipelines and features for our QuickBooks Capital customers. We are looking for an engineer with a background in data engineering and experience working in a data engineering team for 7+ years.

Responsibilities

• Understand functional requirements, develop technical designs and specifications, code and test.
• You will be required to size work of medium to large complexity and manage timelines and deliveries.
• Designing/developing software using data engineering technologies.
• You will be spending 90% hands-on designing, coding, testing and supporting production systems (on-call).
• Resolve defects/bugs during testing, pre-production, production, and post-release patches.
• Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results.
• Agile Development, SCRUM, or Extreme Programming methodologies.
• Data modeling, data warehousing, and building ETL pipelines.
• Production support via quarterly on-call rotations to monitor production systems and resolve production errors & incidents

Qualifications

• BS/MS in computer science or equivalent work experience
• 7+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka
• 7+ year’s experience working on BigData technologies.
• Extensive experience with Python and Spark
• Proven ability to understand a large existing codebase.
• Experience with the entire Software Development Life Cycle (SDLC).
• Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $274,000.

The expected base pay range for this position is: Mountain View $202,500 - $274,000